Data processing: artificial intelligence – Plural processing systems
Reexamination Certificate
1999-04-27
2003-11-18
Follansbee, John (Department: 2121)
Data processing: artificial intelligence
Plural processing systems
C706S012000, C706S011000
Reexamination Certificate
active
06651044
ABSTRACT:
BACKGROUND OF THE INVENTION
1. Field of the Invention
This invention relates to intelligent decision systems, including humanoid, social, and natural-languaging machines. More particularly, it relates to computer systems including autonomous decision systems which include means for determining relevancy, i.e., the threats to and opportunities of the autonomous decision system, present and predicted. Even more particularly, it relates to such intelligent and humanoid autonomous decision systems constructed and arranged to interact comfortably with humans, including the use of social bonding and natural languages.
The microfiche filed in the parent application shows the source code for a preferred embodiment of the present invention in the form of an entertainment or “game” entitled “StoryPal” (TM).
2. Background and Description of the Prior Art
In the past, it has been a difficult and sought-after goal to provide general-purpose autonomous decision systems (herein also called “ADS's”) which can efficiently determine threats and opportunities, i.e., relevancies. In addition, there have been further goals to make such autonomous decision systems seem more “humanoid” in the sense of abilities to perform some human-like functions like thinking, feeling, languaging, determining relevancy, etc. Further, in order to provide comfortable interaction between such ADS's and humans, especially in natural language transactions, requires at least that the way the ADS “makes sense” of what is going on itself “makes sense” to humans.
Several chief areas in which the systems used by the ADS must “make sense” to most humans are: (1) the system for categorization used by the ADS to break up the infinite variety of the world and construct a finite representation of it; (2) the system for making decisions used by the ADS, e.g., by testing alternative actions and comparing the resulting alternative consequences (i.e., using a “what-if” system); (3) the system for determining the “relevancy” or “meaning” to (i.e., threats to and opportunities of) the ADS of various circumstances or situations; and (4) other ADS systems for accommodating such functions as determining similarity, doing learning, implementing bonding and sociality, and handling memory/history. Perhaps the major advantage which such an ADS might have is the use (sending and receiving) of natural language in interactions with humans.
In the prior art, there have been many efforts over many decades to provide such an autonomous decision system, or to at least find a good starting place for such efforts. Many “fields” have attempted this, among them Artificial Intelligence, Cognitive Science, Artificial Life, and Robotics. But the goal has been elusive and there have been few serious proposals for a good starting place, even from major approaches like logic programming, “neural nets”, expert systems, and “fuzzy logic”.
As another example, philosophers of Artificial Intelligence are still today searching to agree upon good definitions of such common mammalian/human autonomy traits as “awareness”. And the scientific literature is void even of good proposals for general humanoid or machine systems of internal representation, or for general-purpose object categorization, as with primitives permitting “whether concrete is included in abstract” computation, or for bonding and sociality implementation.
OBJECTS OF THE INVENTION
A primary object of the present invention is the provision of a computer system providing an improved intelligent decision system, including such systems which implement sociality and bonding, learning, and natural languaging. Another primary object of this invention is to provide an efficient autonomous decision computer system which is “aware” of the implications and relevancies of its circumstances, i.e., is “aware” of threats to it and of its opportunities, actual or impending. A further object is to provide an improved system for machine use of natural language. Yet a further object is to provide in an autonomous decision system a highly efficient system of internal representation, including a categorization system permitting efficient and computable relationships between abstracts and concretes; and further to provide such a system of internal representation having relationships which assist in providing efficiency in many areas and assists in providing natural-language abilities to an ADS. Even another object is to provide separate improved systems involving subsystem inventions of the ADS of the present invention (e.g., a virtual reality engine) for use in other fields. Other objects of this invention will become apparent with reference to the following invention descriptions.
SUMMARY OF THE INVENTION
The present invention provides, in accordance with a preferred embodiment thereof, a computer system for implementing decisions of an autonomous decision system in an environmental situation, comprising: computer processing means for processing data; storage means for storing data on a storage medium; input means for providing temporally-incremental input data about a series of such environmental situations; concrete-situation means for processing data regarding such temporally-incremental input data about such series of such environmental situations to provide a temporally-incremental series, respectively, of “present” concrete self-situation representations of such respective environmental situations, wherein each such self-situation representation comprises a self representation and a set of event representations, each such event representation being represented specifically spacio-temporally relative to such self representation, and each such event representation including a behavioral-type designation selected from a set of behavioral-type designations, each such behavioral-type designation of such set of behavioral-type designations being associated with a set of incremental behavioral self-tendencies for determining incrementally-predicted self-situation representations from a such presented self-situation representation; and a set of current-behavior designations associated with each such event representation specifying the current behaviors of each such event representation.
Further, this invention provides such a computer system wherein such representation means comprises data means for representing a particular object as part of a collection of object representations, each such object representation of such collection comprising a such behavioral-type designation, and such representation means further comprising: assignment means for processing and storing data regarding assigning characteristics to each such object representation of such collection, wherein essentially each of such characteristics comprises a subset of a set of self-tendencies and a corresponding subset of a set of self-tendency markers, such set of self-tendency markers having a 1-to-1 correspondence with such set of self-tendencies, one unique marker from such set of self-tendency markers corresponding respectively with each self-tendency of such set of self-tendencies, such subset of self-tendencies being constructed and arranged to permit a determination of the expected behavior of each such object representation with respect to any mappable representation of other object representations from such collection of object representations, each such self-tendency consisting essentially of an instruction for self-behavior (of any first object representation to which such self-tendency may be assigned) on the condition that any mappable representation of object representations from such collection, including such first object representation, from the viewpoint of such first object representation, is included in a specified self-relation selected from a set of self-relations, where each self-relation of such set of self-relations comprises a specified space-time relation among a such first object representation and at least one such other object representation, each such other object representation being specified as a subset of a set
Booker Kelvin
Follansbee John
Stoneman Martin L.
LandOfFree
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